[jira] [Resolved] (SPARK-2547) The clustering documentaion example provided for spark 0.9.1/docs is having a error

["Josh Rosen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-2547?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Josh Rosen resolved SPARK-2547.
-------------------------------

          Resolution: Fixed
       Fix Version/s: 0.9.3
    Target Version/s:   (was: 0.9.2)

> The clustering documentaion example provided for spark 0.9.1/docs is having a error
> -----------------------------------------------------------------------------------
>
>                 Key: SPARK-2547
>                 URL: https://issues.apache.org/jira/browse/SPARK-2547
>             Project: Spark
>          Issue Type: Documentation
>          Components: Documentation, Examples, MLlib, PySpark
>    Affects Versions: 0.9.1
>         Environment: All
>            Reporter: Rahul K Bhojwani
>              Labels: documentation, easyfix
>             Fix For: 0.9.3
>
>   Original Estimate: 1h
>  Remaining Estimate: 1h
>
> The documentation example for MLlib Clustering contains Kmeans example.
> http://spark.apache.org/docs/0.9.1/mllib-guide.html#clustering-2
> Here this line mentioned below is wrong and misleading.
> clusters = KMeans.train(parsedData, 2, maxIterations=10,runs=30, initialization_mode="random")
> Look at the key parameter "initialization_mode" given in example. Its wrong as per the implementation of KMeans. It should be "initializationMode"
> Correction: 
> clusters = KMeans.train(parsedData, 2, maxIterations=10,runs=30, initializationMode="random")



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